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Collaboration instead of competition: Important BI and data trends for 2022

BI and Data Trends 2022

While some of the data and BI trends from previous years continue to prevail, new developments can also be identified for 2022 – not least due to the current pandemic situation. We have summarized some important new trends from the data and analytics world for you.

Pandemic, climate change, economic inequality. If you look at the biggest current economic and social problems, it quickly becomes clear that they are systemically relevant – worldwide. Rarely have cause and effect been as closely interwoven globally as they are now. The solutions to these conflicts must be correspondingly collective. Those who hoard their information and resources for themselves alone stand in the way of innovation and finding solutions and create little trust. The strength, on the other hand, lies in collaboration and sharing of data and resources to lay the foundation for development and resilience.

Finally, based on this , some trends are emerging in the BI and Data world for the coming year. For example, while topics such as master data and data quality management, a data-driven corporate culture, data governance and self-service analytics continue to be among the frontrunners according to BARC’s trend survey, BI vendor Qlik is bringing some other interesting innovations to the table for 2022.

Collaboration Mining & Embedded Insights

Since the pandemic, collaboration and business intelligence have become even more intervowen than before. Working from a wide variety of locations – from home, for example – finally made it necessary for BI to no longer be physically tethered. Instead, analyses must be embedded in workflows and business applications (embedded insights), where people can also work on them together regardless where they are.

This circumstance will persist and intensify in the coming period. Collaboration does not only refer to the own company but will also be extended to other organizations and external communities. The development of productive relationships for the benefit of all participants is becoming increasingly important in this context. In order to create value chains that are as resilient as possible – “collaboration mining” is born.  This results in data, insights and innovations that would not have been possible on their own. Here, collaboration begins with the generation of data and insights.

Advanced dashboards

People often say that dashboards are already dead. But this statement is only partially true, because it only refers to the static monitoring of KPIs. In-depth analyses based on enhanced, interactive visualizations in the context of augmented analytics, on the other hand, are more in demand than ever and will remain so. In fact, the once static dashboards are constantly evolving.

KPIs are transforming from lagging to leading indicators through driver analytics. Visualizations are becoming more contextual and collaborative – for example, by the ability to create alerts, which provide immediate insight when data changes. In order to be able to react immediately to changes artificial intelligence also helps to link the data with the context..

Decentralized clouds as the norm

Due to the many different data sources, analytics solutions and operational options, the data landscape is currently quite confusing and hybrid and will remain that way. Most companies are not even looking for a single, all-encompassing solution for all of their IT needs, but rather an infrastructure that can address all of their cost, performance and governance needs. Particularly specialized workloads, compliance and security are more important than ever today.

A distributed cloud infrastructure can help. It makes a significant contribution to ensure that interlinked data can be accessed and shared securely and reliably. Distributed clouds will therefore become increasingly important.

Application automation

To use analyzed data as efficiently as possible, a quick response to the insights gained from it should be practicable as soon as possible. To this end, applications in an enterprise culture should, above all, communicate smoothly with each other and alert and notify users of current findings. In addition, it can also be beneficial to set up actions in the workflow that can be triggered both manually and automatically when certain data milestones are reached.

Application automation is an up-and-coming area that is currently gaining more and more importance. BI provider Qlik has also already responded to the emerging trend. For example, Qlik Application Automation can be used to create dynamic processes that automatically respond to events and trigger informed actions in the corresponding SaaS applications.

Security becomes top priority

The Corona pandemic acted as a digitization driver in many areas, paving the way for numerous companies to move to the cloud. With the increasing shift of technologies and processes to the cloud, the relevance of security and compliance is also rapidly increasing.

Data management, data protection, data security, and identity and access management are becoming more and more interconnected. The more analytics are embedded, more actions are triggered, and APIs and data are shared, the higher the risk for errors and attacks becomes. Proper protection is increasingly moving from a “nice-to-have” to a “must-have,” requiring new methods, processes, and products. The topic of security will therefore become even more important in the future than it has been in the past.

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